{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:DQP2XHTXWFAMMDLYWTA43HSAR5","short_pith_number":"pith:DQP2XHTX","canonical_record":{"source":{"id":"2110.02102","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-05T15:04:01Z","cross_cats_sorted":[],"title_canon_sha256":"e751ddef6d79427b1e316336c9e67ee2cdd2ab18e0ae550bfb126154e59fc9f3","abstract_canon_sha256":"1369f1171e01eeedc8bd937a6bc6165880a6eaa019250d478f642705bb5e50fe"},"schema_version":"1.0"},"canonical_sha256":"1c1fab9e77b140c60d78b4c1cd9e408f4bdf2a24d444709fb31fb393f8ed6b5c","source":{"kind":"arxiv","id":"2110.02102","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.02102","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"arxiv_version","alias_value":"2110.02102v2","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.02102","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"pith_short_12","alias_value":"DQP2XHTXWFAM","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"pith_short_16","alias_value":"DQP2XHTXWFAMMDLY","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"pith_short_8","alias_value":"DQP2XHTX","created_at":"2026-07-05T03:37:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:DQP2XHTXWFAMMDLYWTA43HSAR5","target":"record","payload":{"canonical_record":{"source":{"id":"2110.02102","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-05T15:04:01Z","cross_cats_sorted":[],"title_canon_sha256":"e751ddef6d79427b1e316336c9e67ee2cdd2ab18e0ae550bfb126154e59fc9f3","abstract_canon_sha256":"1369f1171e01eeedc8bd937a6bc6165880a6eaa019250d478f642705bb5e50fe"},"schema_version":"1.0"},"canonical_sha256":"1c1fab9e77b140c60d78b4c1cd9e408f4bdf2a24d444709fb31fb393f8ed6b5c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:37:46.356048Z","signature_b64":"ni9wMqEz12JIMvoN0jpZTQPB4LWiOntKzspp04yUxBXQgKHF/g2LIqQarf1vrOiBwUN36RviIvLEOWbkjlaoDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c1fab9e77b140c60d78b4c1cd9e408f4bdf2a24d444709fb31fb393f8ed6b5c","last_reissued_at":"2026-07-05T03:37:46.355589Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:37:46.355589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.02102","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:37:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D9CPNUa4wCfDAk65azd94O7xG1Ls1RHGpvz4N+0ZShq494rkufQ1QdR4Btktp5OPnFbl+6pAxVqxD/RqXCVoCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T21:35:58.893744Z"},"content_sha256":"9e5f1bdd633cda36cdbf4d42edaaabc195850e46abc386ca86d996e8ee9adf38","schema_version":"1.0","event_id":"sha256:9e5f1bdd633cda36cdbf4d42edaaabc195850e46abc386ca86d996e8ee9adf38"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:DQP2XHTXWFAMMDLYWTA43HSAR5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Andr\\'e Biedenkapp, Bodo Rosenhahn, Carolin Benjamins, Frank Hutter, Frederik Schubert, Marius Lindauer, Theresa Eimer","submitted_at":"2021-10-05T15:04:01Z","abstract_excerpt":"While Reinforcement Learning has made great strides towards solving ever more complicated tasks, many algorithms are still brittle to even slight changes in their environment. This is a limiting factor for real-world applications of RL. Although the research community continuously aims at improving both robustness and generalization of RL algorithms, unfortunately it still lacks an open-source set of well-defined benchmark problems based on a consistent theoretical framework, which allows comparing different approaches in a fair, reliable and reproducibleway. To fill this gap, we propose CARL,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.02102","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2110.02102/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:37:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AVil2aUle1mnQHvM3k7a/MYOeYfiShsjKHh9WDoABG5VOqIfJ+smp+JMxnG1wG0c1CqJdVj18VbBIICLI10lDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T21:35:58.894136Z"},"content_sha256":"0c273e41f033849e507560de837da1bc36f5f2cd1c6fbd89b7983cb28e4346de","schema_version":"1.0","event_id":"sha256:0c273e41f033849e507560de837da1bc36f5f2cd1c6fbd89b7983cb28e4346de"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DQP2XHTXWFAMMDLYWTA43HSAR5/bundle.json","state_url":"https://pith.science/pith/DQP2XHTXWFAMMDLYWTA43HSAR5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DQP2XHTXWFAMMDLYWTA43HSAR5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-11T21:35:58Z","links":{"resolver":"https://pith.science/pith/DQP2XHTXWFAMMDLYWTA43HSAR5","bundle":"https://pith.science/pith/DQP2XHTXWFAMMDLYWTA43HSAR5/bundle.json","state":"https://pith.science/pith/DQP2XHTXWFAMMDLYWTA43HSAR5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DQP2XHTXWFAMMDLYWTA43HSAR5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DQP2XHTXWFAMMDLYWTA43HSAR5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1369f1171e01eeedc8bd937a6bc6165880a6eaa019250d478f642705bb5e50fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-05T15:04:01Z","title_canon_sha256":"e751ddef6d79427b1e316336c9e67ee2cdd2ab18e0ae550bfb126154e59fc9f3"},"schema_version":"1.0","source":{"id":"2110.02102","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.02102","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"arxiv_version","alias_value":"2110.02102v2","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.02102","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"pith_short_12","alias_value":"DQP2XHTXWFAM","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"pith_short_16","alias_value":"DQP2XHTXWFAMMDLY","created_at":"2026-07-05T03:37:46Z"},{"alias_kind":"pith_short_8","alias_value":"DQP2XHTX","created_at":"2026-07-05T03:37:46Z"}],"graph_snapshots":[{"event_id":"sha256:0c273e41f033849e507560de837da1bc36f5f2cd1c6fbd89b7983cb28e4346de","target":"graph","created_at":"2026-07-05T03:37:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2110.02102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Reinforcement Learning has made great strides towards solving ever more complicated tasks, many algorithms are still brittle to even slight changes in their environment. This is a limiting factor for real-world applications of RL. Although the research community continuously aims at improving both robustness and generalization of RL algorithms, unfortunately it still lacks an open-source set of well-defined benchmark problems based on a consistent theoretical framework, which allows comparing different approaches in a fair, reliable and reproducibleway. To fill this gap, we propose CARL,","authors_text":"Andr\\'e Biedenkapp, Bodo Rosenhahn, Carolin Benjamins, Frank Hutter, Frederik Schubert, Marius Lindauer, Theresa Eimer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-05T15:04:01Z","title":"CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.02102","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9e5f1bdd633cda36cdbf4d42edaaabc195850e46abc386ca86d996e8ee9adf38","target":"record","created_at":"2026-07-05T03:37:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1369f1171e01eeedc8bd937a6bc6165880a6eaa019250d478f642705bb5e50fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-05T15:04:01Z","title_canon_sha256":"e751ddef6d79427b1e316336c9e67ee2cdd2ab18e0ae550bfb126154e59fc9f3"},"schema_version":"1.0","source":{"id":"2110.02102","kind":"arxiv","version":2}},"canonical_sha256":"1c1fab9e77b140c60d78b4c1cd9e408f4bdf2a24d444709fb31fb393f8ed6b5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c1fab9e77b140c60d78b4c1cd9e408f4bdf2a24d444709fb31fb393f8ed6b5c","first_computed_at":"2026-07-05T03:37:46.355589Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:37:46.355589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ni9wMqEz12JIMvoN0jpZTQPB4LWiOntKzspp04yUxBXQgKHF/g2LIqQarf1vrOiBwUN36RviIvLEOWbkjlaoDA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:37:46.356048Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.02102","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e5f1bdd633cda36cdbf4d42edaaabc195850e46abc386ca86d996e8ee9adf38","sha256:0c273e41f033849e507560de837da1bc36f5f2cd1c6fbd89b7983cb28e4346de"],"state_sha256":"cd74183b19dd4d29387ebaf42cef9bf63a70d41cb42c2a6dbf4fca8564f01214"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iiZS94jBj7id0fJCvkJcA67FdqZWuIgxz3TFsevxONt75+QN8FvLeQoldIa5d3LDU5ggd6j23SD15X6N5QyDBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T21:35:58.896997Z","bundle_sha256":"8ee8047fa0060aa3dbfbc2f2af154e3b2248445d48ae571db1b27f1d5bae9d59"}}